Analysis Tools and Methodology to Optimise Energy Management for Flexibility and Sustainability
A tool transforming complex energy systems into understandable scenarios for action and investment.
What it is
An open-source Python-based analysis tool and methodology for modelling, analysing, and optimising energy flows in research infrastructures and industrial plants.
What it does
The tool helps users visualise and test operational scenarios involving energy production, storage, usage planning, carbon emissions, cost, and flexibility options.
Main capabilities
- Energy flow modelling
- Scenario analysis
- Optimisation of operational planning
- Consideration of local regulations and energy mix
- Support for decisions on flexibility, cost, and environmental footprint
Why it matters
Energy management decisions are often complex and involve multiple trade-offs. This tool helps facility managers make those decisions using evidence and structured modelling.
Who can use it
- RI facility managers
- Infrastructure decision makers
- Industrial plant managers
- Technical teams interested in open-source energy modelling
Format
Open-source Python tool with graphical user interface and use-case-based methodology.
Why this is useful
It supports more transparent discussions with internal management, authorities, and other stakeholders on investment priorities and operational choices. If your facility needs to improve flexibility or sustainability, use this tool to model scenarios and support decisions with credible data.
